Yoshikazu Fukuyama
Orcid: 0000-0002-6115-1676
According to our database1,
Yoshikazu Fukuyama
authored at least 62 papers
between 1999 and 2024.
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Bibliography
2024
Improved Adaptive Integer form of Population-Based Incremental Learning and Reactive Tabu Search for an Integrated Energy Supply and Demand Optimization Framework in Factories.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication , 2024
2023
Optimal Production Scheduling by Integer Form of Population-Based Incremental Learning with Initial Probability Matrix Setting Methods and a Practical Production Simulator.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Refrigerated Showcase Fault Detection by an Autoencoder with Coin Betting and Maximum Correntropy Criterion.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Transposition Point Optimization for Voltage Unbalance Mitigation in Electric Power Distribution Systems by Integer Form of Population-Based Incremental Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Refrigerated Showcase Fault Detection by an Autoencoder with the Adaptive Kernel Size Tuning using Maximum Correntropy Criterion.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Optimal Production Scheduling using a Production Simulator and Multi-population Global-best Modified Brain Storm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Fault Detection of Hydroelectric Generators by Robust Random Cut Forest with Feature Selection Using Hilbert-Schmidt Independence Criterion.
Proceedings of the IEEE International Conference on Smart Internet of Things, 2021
Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021
Improved Reactive Tabu Search for Optimal VehicleRouting Considering Allocation of Secondary Depots in Case of Natural Disasters.
Proceedings of the 2nd International Conference on Societal Automation, 2021
Optimal Production Scheduling using a Production Simulator by Modified Brain Storm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Comparative Evaluation of Dependability for Voltage and Reactive Power Control by Modified Brain Storm Optimization using Individual and Sub-population based Parallel Multi-Population.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
One Class Support Vector Machine with a New Feature Selection Method for Fault Detection of Gas Turbine Generators in Thermal Power Plants.
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020
A Correntropy Based Artificial Neural Network using Early Stopping for Daily Peak Load Forecasting.
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020
Reactive Tabu Search for Optimal Vehicle Routing Method of Trucks Considering Allocation of Secondary Depots in Case of Natural Disaster.
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020
Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2020
Swarm Reinforcement Learning using DEEPSO-Q with Advantage for Operational Planning of Energy Plants.
Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020
Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020
Overall Optimization of Smart City by Multi-population Global-best Brain Storm Optimization using Cooperative Coevolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Refrigerated Showcase Fault Detection by a Pasting based Artificial Neural Networks using Parallel Multi-population Modified Brain Storm optimization and Correntropy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Dependable Parallel Multi-population Global-best Brain Storm Optimization with Differential Evolution strategies for Distribution System State Estimation using Just-in-time Modeling and Correntropy in Power Systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Correction: Sato, M., et al. Total Optimization of Energy Networks in a Smart City by Multi-Population Global-Best Modified Brain Storm Optimization with Migration, <i>Algorithms</i> 2019, <i>12</i>, 15.
Algorithms, 2019
Total Optimization of Energy Networks in a Smart City by Multi-Population Global-Best Modified Brain Storm Optimization with Migration.
Algorithms, 2019
Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Fast Brain Storm Optimization.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019
Refrigerated Showcase Fault Detection by a Correntropy Based Artificial Neural Network Using Modified Brain Storm Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Parallel Multi-population Improved Brain Storm Optimization with Differential Evolution strategies for State Estimation in Distribution Systems using Just in Time Modeling and Correntropy.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Dependable Parallel Multi-population Improved Brain Storm Optimization with Differential Evolution for On-line Energy Plant Optimal Operation Planning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Swarm Reinforcement Learning for Operational Planning of Energy Plants for Small and Mid-Sized Building Energy Management Systems.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019
Parallel Hybrid Particle Swarm Optimization for Integration Framework of Optimal Operational Planning Problem of an Energy Plant and Production Scheduling Problem.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019
Total Optimization of Energy Networks in Smart City by Cooperative Coevolution using Global-best Brain Storm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Reactive Hybrid Particle Swarm Optimization Based Job-shop Scheduling Problems Considering Energy Management.
Proceedings of the TENCON 2018, 2018
Modified Brain Storm Optimization for Load Adjustment Distribution State Estimation Using Correntropy.
Proceedings of the TENCON 2018, 2018
Global-best Brain Storm Optimization for Optimal Operational Planning of Energy Plants.
Proceedings of the TENCON 2018, 2018
Multi-population Modified Brain Storm Optimization for Optimal Operational Planning of Energy Plants.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2017
Total Optimization of Smart City Using Initial Searching Points Generation Based on k-means Algorithm.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017
Optimal Operational Planning of Energy Plants by Multi-population Differential Evolutionary Particle Swarm Optimization.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017
Total optimization of a smart community by multi-population differential evolutionary particle swarm optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Parallel dependable multi-population differential evolutionary particle swarm optimization for on-line optimal operational planning of energy plants.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Parallel reactive tabu search for job-shop scheduling problems considering energy management.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Multi-population differential evolutionary particle swarm optimization for distribution state estimation using correntropy in electric power systems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Dependable parallel multi-population different evolutionary particle swarm optimization for voltage and reactive power control in electric power systems.
Proceedings of the 10th IEEE International Workshop on Computational Intelligence and Applications, 2017
Proceedings of the 10th IEEE International Workshop on Computational Intelligence and Applications, 2017
Generation methods of neighborhood schedules for practical train crew scheduling problems using tabu search.
Proceedings of the 10th IEEE International Workshop on Computational Intelligence and Applications, 2017
Proceedings of the 10th IEEE International Workshop on Computational Intelligence and Applications, 2017
2016
Proceedings of the 11th International Conference on Computer Science & Education, 2016
2015
Parallel particle swarm optimization for reactive power and voltage control verifying dependability.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2010
The epsilon constrained differential evolution approach for optimal operational planning of energy plants.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Optimal Operational Planning and Control of Energy Plants by e Constrained Particle Swarm Optimization.
Proceedings of the IEEE International Conference on Control Applications, 2010
2009
Proceedings of the Innovations in Swarm Intelligence, 2009
Performance evaluation of intermittent receiver-driven data transmission on wireless sensor networks.
Proceedings of the 2009 6th International Symposium on Wireless Communication Systems, 2009
2007
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007
Moving horizon simultaneous estiamtion of process gain and disturbanes for an oxygen converter gas r.
Proceedings of the 9th IFAC Workshop on Adaptation and Learning in Control and Signal Processing, 2007
Automatic Tuning for Model Predictive Control: Can Particle Swarm Optimization find a better parameter?
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007
2006
Electric Load Forecasting using Scatter Search Based Weighted Average Weather Conditions.
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Comparison of particle swarm optimizations for optimal operational planning of energy plants.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005
A method for searching multiple local optimal solutions of nonlinear optimization problems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005
2003
Optimal operational planning for cogeneration system using particle swarm optimization.
Proceedings of the 2003 IEEE Swarm Intelligence Symposium, 2003
2001
A particle swarm optimization for reactive power and voltage control in electric power systems.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001
1999
A Particle Swarm Optimization for Reactive Power and Voltage Control in Electric Power Systems.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999